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响应面法在酵母基微生物燃料电池生物能源生成中的应用

Application of response surface methodology for bioenergy generation in a yeast-based microbial fuel cell.

作者信息

Orak Ceren

机构信息

Sivas University of Science and Technology, Faculty of Engineering, Department of Chemical Engineering 58000 Sivas Turkey

出版信息

RSC Adv. 2024 Oct 29;14(46):34356-34361. doi: 10.1039/d4ra05380j. eCollection 2024 Oct 23.

Abstract

Microbial fuel cells (MFCs) provide a solution to valorise wastewater for energy generation. Wastewater containing oxytetracycline (OTC), an antibiotic, was treated in a yeast-based H-type MFC to obtain bioenergy. The effect of bakery yeast amount, initial OTC concentration, and NaCl concentration in an anodic chamber was investigated and optimum operating conditions were statistically determined Box-Behnken design. The highest generated power was measured to be 219.3 mW m using 3 g L of bakery yeast, 0.003 M of OTC solution, and 0.006 M of NaCl in the anodic chamber, and experimental data showed a good fit to the model with higher -sq values. The most important operating parameter was found to be the square of the initial OTC concentration, and this factor, as well as the amount of bakery yeast, has a main effect on the performance of yeast-based MFCs. Almost 70% of TOC removal was achieved under optimum reaction conditions.

摘要

微生物燃料电池(MFCs)为将废水转化为能源提供了一种解决方案。含有抗生素土霉素(OTC)的废水在基于酵母的H型MFC中进行处理以获取生物能源。研究了阳极室中面包酵母量、初始OTC浓度和NaCl浓度的影响,并通过Box-Behnken设计统计确定了最佳操作条件。在阳极室中使用3 g/L的面包酵母、0.003 M的OTC溶液和0.006 M的NaCl时,测得的最高发电量为219.3 mW/m²,实验数据与具有较高R²值的模型拟合良好。发现最重要的操作参数是初始OTC浓度的平方,该因素以及面包酵母量对基于酵母的MFC性能有主要影响。在最佳反应条件下实现了近70%的总有机碳去除。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/711e/11519841/b5454144b867/d4ra05380j-f1.jpg

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